AI Engineer
We're seeking an exceptional and ambitious AI engineer who thrives in high-intensity environment with lots of unsolved challenges and wants to build something revolutionary.
Our team moves fast, works hard and solves big problems. We're focused on rapid execution and creating outsized impact in the legal space.
👋🏼 Hello! We’re ALMA
Backed by leading VCs such as Bling Capital, Forerunner, Village Global, NFX, Conviction, MVP Ventures, NEA and Silkroad Innovation Hub, Alma is on a mission to forever change immigration for the better!
We're focused on simplifying complex immigration processes for companies and individuals, and disrupting $10b market that has never seen an amazing product!
🧠 Founding Team
You'll work directly with founders committed to disrupting immigration. Our founding team combines top expertise across tech, legal, and product:
Shuo - CTO & Cofounder: Shuo built the ML Platform (Michelangelo) at Uber for 5+ years after which he was the head of AI & ML team at a SupportLogic (a series B startup backed by General Catalyst using predictive & generative AI for customer support).
Aizada - CEO & Cofounder: Aizada is a graduate of Harvard Law School, an attorney with 7+ years of experience including working at a top law firm such as Cooley and an ex-McKinsey consultant.
Assel - CPO & Cofounder: Assel is a graduate of Harvard Business School and has 7 years of experience building products at FinTechs such as SoFi and Step and at large financial institutions when working at Ernst & Young.
🔍 What we're looking for
A 99th percentile "can-do" engineer with 2+ years of LLM experience who will lead our AI initiatives:
Proven track record delivering production-grade AI agents with measurable business impact
Hands-on experience on designing and building eval dataset and pipeline
Strong applied AI/ML research background with practical problem-solving abilities
Experience shipping LLM applications to production and optimizing post-deployment performance
Proficiency with different LLM techniques (prompt engineering and agents) & toolings (RAG and MCP)
Intuitive understanding of LLM architecture and the best practices of implementation
✅ Responsibilities
Work closely with the founding team to build and ship AI-native products.
Transform academic AI research into performant, business-oriented solutions.
Design & implement LLM-powered products, such as prompting, agents, experimentation, LLM Ops, measuring quality & performance.
Evaluate and productize various types of LLMs for our product use cases
⭐️ Nice-to-haves
MS/Phd in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
Experience working in a small startup environment (Seed or Series A).